geom-bar

I have a simple bargraph like the following a<-data.frame(x=c("total","male","female","low education", "mid education","high education","working","not working"), y=c(80,30,50,20,40,20,65,35)) a$x<-as.character(a$x) a$x<-factor(a$x,levels=unique(a$x)) ggplot(a,aes(x,y)) + geom_bar(stat="identity",fill="orange",width=0.4) + coord_flip() + theme_bw() Now , because the levels of the x axis (flipped and now seems like y ) have a relation with each other e.g male and female represent sex breakdown , working and not working represent another breakdown etc., I want the axis to leave some space between

geom_bar seems to work best when it has fixed width bars - even the spaces between bars seem to be determined by width, according to the documentation . When you have variable widths, however, it does not respond as I would expect, leading to overlaps or gaps between the different bars (as shown here ). To see what I mean, please try this very simple reproducible example: x <- c("a","b","c") w <- c(1.2, 1.3, 4) # variable widths y <- c(9, 10, 6) # variable heights ggplot() + geom_bar(aes(x = x, y = y, width = w, fill=x), stat="identity", position= "stack") What I really want is for the

I have the following data and wish to create a grouped bar graph like so: data<-as.data.frame(c("a","b","c","a","b","c")) colnames(data)<-"Y" data$X<-c("x","x","x","y","y","y") data$Z<-c(1,2,3,1,2,3) ggplot(data, aes(x=X, y=Z, fill=Y) + geom_bar(stat="identity", colour="black", position="dodge", size=0.25, width=0.8, alpha=0.8) + scale_fill_manual(values=c("red","red","red","blue","blue","blue")) In the last line of the code I wish to change the colours of the bars - I would like that all of the bars of group "x" be coloured red and the bars of group "y" to be coloured blue. However as the

This question already has an answer here: ggplot bar plot with facet-dependent order of categories 4 answers In the df below, I want to reorder bars from highest to lowest in each facet I tried df <- df %>% tidyr::gather("var", "value", 2:4) ggplot(df, aes (x = reorder(id, -value), y = value, fill = id))+ geom_bar(stat="identity")+facet_wrap(~var, ncol =3) It gave me It didn't order the bars from highest to lowest in each facet. I figured out another way to get what I want. I had to plot each variable at a time, then combine all plots using grid.arrange() #I got this function from @eipi10's

I have the following in order to bar plot the data frame. c1 <- c(10, 20, 40) c2 <- c(3, 5, 7) c3 <- c(1, 1, 1) df <- data.frame(c1, c2, c3) ggplot(data=df, aes(x=c1+c2/2, y=c3)) + geom_bar(stat="identity", width=c2) + scale_fill_manual(values=c("#FF6666")) I end up having only grey bars: Grey bars for bar plot I would like to change the color of the bar. I already tried different scale_fill_manual from http://www.cookbook-r.com/Graphs/Colors_(ggplot2)/ but still have grey bars. Thank you for your help. If you want all the bars to get the same color ( fill ), you can easily add it inside geom

I have a dataframe d : > head(d,20) groupchange Symscore3 1 4 1 2 4 2 3 4 1 4 4 2 5 5 0 6 5 0 7 5 0 8 4 0 9 2 2 10 5 0 11 5 0 12 5 1 13 5 0 14 4 1 15 5 1 16 1 0 17 4 0 18 1 1 19 5 0 20 4 0 That I am plotting with: ggplot(d, aes(groupchange, y=..count../sum(..count..), fill=Symscore3)) + geom_bar(position = "dodge") In this way each bar represents its percentage on the whole data. Instead I would like that each bar represents a relative percentage; i.e. the sum of the bar in obtained with groupchange = k should be 1 . First summarise and transform your data: library(dplyr) d2 <- d %>% group_by

I would like to adjust the text on the barplot. I tried to adjust hjust/vjust to display as I like it but it seems like it's not working properly. ggplot(data) + geom_bar(aes(name, count, fill = week), stat='identity', position = 'dodge') + geom_text(aes(name,count, label=count),hjust=0.5, vjust=3, size=2, position = position_dodge(width = 1)) + coord_flip() So I would like the numbers to situate on each bar, in the middle, at the right-edge so it's readable without overlapping like the last parts. Edit: The easier solution to get hjust / vjust to behave intelligently is to add the group